coach-nemoclaw-hermes

作成者: nvidia

NemoClaw Hermesサブエージェントを、Blender、OVRTX、OVPhysX、USD、レンダリング、シミュレーション、およびライブBlender制御タスクを通じて指導します。Codexが委任すべき場合に使用します…

npx skills add https://github.com/nvidia/nemoclaw-community --skill coach-nemoclaw-hermes

Coach NemoClaw Hermes

Codex is the coach and auditor. Hermes owns Blender, OVRTX, OVPhysX, and other runtime-facing execution. Codex owns task decomposition, host/sandbox transfers, milestone receipts, artifact verification, and final reporting.

Preflight

Before delegation:

  1. Verify the NemoClaw sandbox and local inference endpoint are healthy.
  2. Verify Blender MCP and only the runtimes relevant to the task.
  3. Check for an existing Hermes request using the shared Blender or OV services. Serialize shared-runtime work; parallelize only isolated sandbox-only work with distinct inputs and outputs.
  4. Establish source ownership, a task-owned output root, and whether direct Codex-to-Blender fallback is authorized.
export PATH="$HOME/.local/bin:$PATH"
export NEMOCLAW_SANDBOX_NAME="${NEMOCLAW_SANDBOX_NAME:-ov-blender-hermes}"
nemohermes "$NEMOCLAW_SANDBOX_NAME" status
pgrep -af 'nemohermes .* exec.*(hermes|blenderraw|blenderhandoff).*chat|openshell sandbox exec.*(hermes|blenderraw|blenderhandoff).*chat' || true

Do not launch a duplicate request merely because an active request is quiet.

Execution boundaries

Keep these environments distinct:

  • Codex host: sees host repositories, source files, and host outputs.
  • Hermes sandbox: terminal and file tools see /sandbox, not host paths.
  • Blender MCP: runs inside visible host Blender and can see host paths.

Choose the topology before prompting:

  • Raw MCP: run plain hermes; the sticky blenderraw profile operates visible Blender with exploratory Blender, OVRTX, and OVPhysX tools. The explicit /sandbox/.local/bin/blenderraw alias remains available. Host paths are valid only in Blender MCP operations.
  • Typed MCP: run /sandbox/.local/bin/blenderhandoff; Hermes gets only the bounded inventory, USD, and receipt operations.
  • Sandbox-only: Codex uploads inputs before delegation and downloads outputs afterward.
  • Hybrid: Hermes inspects or exports through Blender MCP; Codex uploads the resulting host files; Hermes processes them in /sandbox; Codex downloads and validates the result.

Use the installed transfer wrapper for every crossing:

nemohermes sandbox upload "$NEMOCLAW_SANDBOX_NAME" HOST_PATH SANDBOX_PATH
nemohermes sandbox download "$NEMOCLAW_SANDBOX_NAME" SANDBOX_PATH HOST_PATH

Verify transferred file counts and SHA-256 hashes. A path in a Hermes response does not prove that a file crossed the boundary.

Coaching loop

Simple inspections or renders may be one request. For complex work, use one measurable milestone at a time, such as:

  • read-only scene inventory;
  • task-owned export with source and output hashes;
  • native render completion;
  • native OVPhysX readback;
  • replay or review capture;
  • package reopen and validation.

Each prompt must include:

  • the milestone and completion marker;
  • the relevant installed Hermes skill names to use;
  • exact host-only and sandbox-visible paths;
  • allowed execution surfaces;
  • required artifacts, evidence, and blocker behavior.

Give Hermes enough time and tool turns to reason and execute:

nemohermes "$NEMOCLAW_SANDBOX_NAME" exec --timeout 1200 -- \
  hermes chat -Q --max-turns 30 -q "$HERMES_PROMPT"

A new hermes chat -q request is a fresh conversation. Carry the prior receipt and exact transferred paths into the next milestone. Poll an existing command session until it exits; logs are progress evidence, not a completion receipt.

Intervention policy

Silence alone is not failure. Intervene only when evidence shows:

  • an explicit tool or runtime error;
  • a wrong filesystem or execution boundary;
  • a missed acceptance criterion;
  • a receipt contradicted by artifacts;
  • a dropped/truncated tool call or other known agent-stream failure signature.

Diagnose the narrow layer first: wrapper, transfer, sandbox, Blender MCP, Blender operation, OVRTX/OVPhysX runtime, or artifact validation. Issue at most one targeted corrected retry before reporting the blocker. Do not repeat a broad prompt or casually overwrite artifacts still open in Blender or PXR.

Do not bypass Hermes with direct Codex control of Blender unless the user explicitly authorizes fallback execution. When authorized, report the fallback and preserve the same source-safety and evidence requirements.

Validation

Preserve source scenes and source USD layers by default. Keep generated work under the task root and hash source files before and after mutation-capable milestones.

Independently validate downloaded host artifacts. Distinguish evidence:

  • native OVRTX or OVPhysX receipts/readback are runtime authority;
  • Blender viewport images and replay renders are visual evidence;
  • Hermes text without matching artifacts is an unverified claim.

Report separately what Codex coached and verified, what Hermes executed, all artifact paths, versions, elapsed time, validation results, fallbacks, and remaining blockers or limitations.

nvidiaのその他のスキル

fhir-basics
nvidia
エージェントにFHIR R4 APIの動作方法、利用可能なリソース、検索パラメータを使ったクエリ方法、およびすべてのレスポンス形式を正しく解析する方法を教えます…
compileiq-validate-result
nvidia
検索が完了した後、かつスピードアップの申請やACFの発送の前に使用します。dump_results CSVを読み込み、トップK候補(単一目的)を抽出します…
changelog-audit
nvidia
リリース前にWarp CHANGELOG.mdを監査:失われたエントリを復元、ユーザー影響で並べ替え、エントリの文言を洗練、行折り返し、および(リリースブランチモードで)比較をバンプ…
dgx-diagnose
nvidia
一般的なDGX Station GB300の問題(CUDAクラッシュ、誤ったGPUターゲット、vLLM/SGLangコンテナのバグ、MIG状態の問題、NVLink/Fabric Managerエラーなど)を診断します。
aicr-managing-openvex
nvidia
Use when adding, updating, or removing CVE/GHSA suppressions in `.openvex.json` — the OpenVEX document consumed by the daily image vulnerability scan workflow.…
aicr-creating-slide-decks
nvidia
技術的な概念やワークフロー(例:demos/*.html)の自己完結型HTMLスライドデッキやビジュアルトーキングポイントを作成する際に使用します。全画面表示または…
aicr-creating-guided-demos
nvidia
インタラクティブなガイド付きデモスクリプト(demos/*.sh)を、ライブ形式またはセルフペース形式で、Frame → Tell → Show → Close パターンに沿って作成します。「デモスクリプト」「ガイド付き…」というトリガーで起動します。
aicr-analyzing-snapshots
nvidia
AICRスナップショットYAMLファイルを分析する際、クラスタ状態を確認する際、プロバイダー特性を比較する際、GPU/ネットワークトポロジーの洞察を抽出する際、または…に使用します。